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2,002 results for “sarcoma”

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CCDI Data Catalog16/100

Clear Cell Sarcoma of the Kidney

Clear cell sarcoma of the kidney (CCSK), the second most common renal tumor in children, poses significant diagnostic challenges. No diagnostic positive markers are available, and the pathogenesis of CCSK remains an enigma. To address these challenges, the gene expression patterns of fourteen CCSKs were compared to fifteen Wilms tumors (WT) and three fetal kidney samples using oligonucleotide arrays.

unknownView details →
CCDI Data Catalog16/100

miR-483 overexpression in human sarcoma cell line MHH-ES-1

miRNA abnormalities are increasingly relevent to cancer development, We used microarrays to detail the global programme of gene expression upon miR-483 overexpression in sarcoma cell line MHH-ES-1.

unknownView details →
CCDI Data Catalog16/100

Kids First: Ewing Sarcoma - Genetic Risk

Ewing sarcoma (EWS) is a deadly bone cancer that occurs in children and adolescents. Mounting evidence suggests that a genetic predisposition exists for this pediatric cancer, although the specific genetic contribution has yet to be identified. EWS has never been linked to a specific cancer predisposition syndrome, although several case reports have been published that describe siblings and cousins with EWS. Furthermore, neuroectodermal tumors appear to occur more commonly in families with EWS. The two consistent epidemiology findings in EWS include a very strong Caucasian predilection and increased rates of hernia in EWS patients and their family members. Finally, the role of genetic microsatellite repeats in EWS tumorigenesis has been recently described, and these GGAA microsatellites are polymorphic in repeat size and location across the genome. The study goals of this Kids First project include (1) To identify cancer predisposition genes in EWS trios increasing disease risk, (2) To identify genome-wide GGAA microsatellite repeats in EWS trios increasing disease risk, and (3) To identity de novo mutation and structural variant rates in EWS trios reflecting underlying DNA repair defects that increase disease risk. As part of the Kids First Common Fund initiative, this study proposal will further elucidate the genetic contribution to pediatric cancer development. Around 375 of these trios were selected for whole genome sequencing as part of the Gabriella Miller Kids First fund. The EWS trios have been collected as part of the Children's Oncology Group's AEPI10N5 Study ("Genetic Epidemiology of Ewing Sarcoma"), and each trio has associated phenotypic data including a detailed family history. We will interrogate the sequence data using our genomic analysis pipeline at the University of Utah and the Utah Science Technology and Research initiative's (USTAR) Center for Genetic Discovery. We will look for the genetic contribution to ES and the sequence data with be shared in a repository designated by the Kids First Common Fund.

unknownView details →
CCDI Data Catalog16/100

International Soft Tissue Sarcoma Consortium (INSTRuCT)

Researchers created this consortium with the goal of establishing a a soft tissue sarcoma data commons to share and provide access to digital objects, focusing on RMS and NRSTS clinical trials data from the United States and Europe. The INSTRuCT database integrates clinical data from the Children's Oncology Group (COG), The European Paediatric Soft Tissue Sarcoma Study Group (EpSSG), Cooperative Weichteilsarkom Studiengruppe (CWS) der Gesellschaft fur Padiatrische Onkologie und Hamatologie (GPOH), International Society for Pediatric Oncology (SIOP) Malignant Mesenchymal Tumour (MMT), and the Italian Associazione Italiana di Ematologia e Oncologia Pediatrica (AIEOP) Soft Tissue Sarcoma Committee (STSC).

unknownView details →
CCDI Data Catalog16/100

Single-cell profiling of pediatric bone sarcoma

For more information, including a more complete description, data generator contact information, and reference, please see: https://scpca.alexslemonade.org/projects/SCPCP000018.

unknownView details →
CCDI Data Catalog16/100

Kidney, Clear Cell Sarcoma of the Kidney (CCSK)

The TARGET Kidney Tumor projects elucidate comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of high-risk or hard-to-treat childhood cancers. Pediatric kidney tumors fall into four primary categories: Wilms tumors (~85% of all cases), clear cell sarcomas of the kidney (~5%), congenital mesoblastic nephromas (~4%), and rhabdoid tumors of the kidney (~3%). The TARGET initiative is investigating three of these tumor types.

unknownView details →
CCDI Data Catalog16/100

Ewing Sarcoma MSK

Targeted Sequencing of 277 Ewing sarcoma and Desmoplastic small round cell patient tumors with their matched normal pairs via MSK-IMPACT platform to detect EWSR1 chromoplexy-associated structural rearrangements.

unknownView details →
CCDI Data Catalog16/100

Sarcoma MSK

Targeted sequencing of 2,138 sarcoma samples and matched normals via MSK-IMPACT. The cases here are only those under the age of 40 years old.

unknownView details →
CCDI Data Catalog16/100

Sarcoma UCLA

Targeted sequencing of a subset of 63 patient-derived organoids from soft tissue sarcoma patients using OncoPanel v3 platform. The cases here are only those under the age of 40 years old.

unknownView details →
CCDI Data Catalog16/100

Targeted Long-Read Sequencing of the Ewing Sarcoma 6p25.1 Susceptibility Locus

Ewing Sarcoma (EwS) is rare but the second most common cancer in children, adolescents and young adults. Recent studies suggest germline variation in or around GGAA microsatellites may interact with fusion oncoprotein binding causing changes in binding affinity and potentially impacting enhancer activity on nearby target genes. This study aims to better understand germline variation around EwS susceptibility regions by performing long-range haplotype sequencing of these regions using PacBio sequencing. Our analysis focused on characterizing variation in GGAA microsatellite length as well as germline variants in or around the microsatellite and their association with EwS risk.

unknownView details →
CCDI Hub16/100

TARGET: Kidney, Clear Cell Sarcoma of the Kidney (CCSK)

Open the record for dataset details and reuse information.

unknownView details →
zenodo16/100

Sarcoma Dataset For APM

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Nov 2023View details →
zenodo16/100

Single-Cell RNA-seq Reveals FGF12 as a Prognostic Biomarker in Low-Grade Endometrial Stromal Sarcoma

<p><strong><span>Abstract </span></strong></p> <p><strong><span>Background: </span></strong><span>Low-grade endometrial stromal sarcoma (LG-ESS) is a rare uterine malignancy characterized by its complex tumor microenvironment (TME) and significant recurrence rates, posing challenges in accurate prognosis and effective treatment. Identifying prognostic biomarkers is essential to improve patient stratification and guide therapeutic strategies.</span></p> <p><span>&nbsp;</span></p> <p><strong><span>Methods: </span></strong><span>Using single-cell transcriptome analysis combined with H&amp;E and multiplex immunofluorescence staining, we identified a subpopulation of tumor cells in LG-ESS and further validated the association of this subpopulation and its characteristic genes with LG-ESS prognosis by molecular characterization and bulk transcriptome data.</span></p> <p><span>&nbsp;</span></p> <p><strong><span>Results: </span></strong><span>Our analysis reveals multiple cellular subpopulations within the tumor tissue, particularly a tumor cell subpopulation among them which is associated with poor prognosis. Originating from normal stromal fibroblasts, this subpopulation appears to play a crucial role in TME remodeling, smooth muscle cell behavior, and potentially in tumorigenesis and metastasis. At particular interest in this subpopulation is the highly expressed FGF12 gene, which is significantly associated with a shortened survival time of ESS, highlighting its potential as a prognostic biomarker.</span></p> <p><span>&nbsp;</span></p> <p><strong><span>Conclusion: </span></strong><span>Our study reveals the complexity of TME within the LG-ESS and highlights the role that tumor cell subpopulations play in disease progression and patient prognosis. The identification of FGF12 as prognostic biomarkers suggests new approach for the personalized treatment and prognosis monitoring of patients. </span></p>

restrictedcc-by-4.0Oct 2024View details →
ClinicalTrials.gov16/100

Single Patient Expanded Access to Ganitumab for Metastatic Ewing Sarcoma

ClinicalTrials.gov study NCT03029481. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

Tazemetostat Expanded Access Program for Adults With Epithelioid Sarcoma

ClinicalTrials.gov study NCT04225429. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

A Study of ALRT1057 in Patients With AIDS-Related Kaposi's Sarcoma

ClinicalTrials.gov study NCT00002188. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

Periostin promotes sarcoma growth by increasing tumor associated macrophages. [RNA-Seq 1]

GEO Series GSE302278. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2025View details →
geo16/100

EWSR1::ATF1 Orchestrates the Clear Cell Sarcoma Transcriptome in Human Tumors and A Mouse Genetic Model [ChIP-Seq 2]

GEO Series GSE248748. Homo sapiens. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenDec 2023View details →
geo16/100

Tumor gene expression analysis of synovial sarcoma patients treated with NY-ESO-1 TCR T cells (NCT01343043) [Immune]

GEO Series GSE202978. Homo sapiens. 23 samples. Type: Expression profiling by array.

openGEO-OpenMay 2022View details →
geo16/100

Kaposi’s Sarcoma-associated Herpesvirus Reactivation by Bacteria Promotes the Hypoxia Response and Epigenetic Regulation

GEO Series GSE67532. Human betaherpesvirus 6; Cucumber mosaic virus; Human gammaherpesvirus 8; Homo sapiens; Simian-Human immunodeficiency virus; Human alphaherpesvirus 1; Human alphaherpesvirus 2; Human alphaherpesvirus 3; Human betaherpesvirus 7; human papillomavirus 72. 7 samples. Type: Expression profiling by array.

openGEO-OpenMar 2018View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record